Kilho Shin

发表

Flexible Tree Kernels based on Counting the Number of Tree Mappings

H. Kashima, T. Kuboyama, Kilho Shin, 2006 .

Crowding, visual awareness, and their respective neural loci

Susana T. L. Chung, B. Tjan, Kilho Shin, 2017, Journal of vision.

The effect of spatial attention on invisible stimuli

Kilho Shin, Sang Chul Chong, S. C. Chong, 2009, Attention, perception & psychophysics.

Highly Scalable Feature Selection Algorithms

T. Kuboyama, Kilho Shin, T. Hashimoto, 2017 .

Unsupervised Clustering based on Feature-value / Instance Transposition Selection

T. Kuboyama, Kilho Shin, T. Hashimoto, 2020, 2020 IEEE REGION 10 CONFERENCE (TENCON).

Unsupervised Rumor Detection on Twitter using Topic Homogeneity

Takako Hashimoto, David Lawrence Shepard, Kilho Shin, 2020, DH.

Privacy-Preserving Feature Selection with Fully Homomorphic Encryption

H. Sakamoto, Kilho Shin, I. Tomohiro, 2021, Algorithms.

Engineering Positive Semidefinite Kernels for Trees A Framework and a Survey:A Framework and a Survey

Kilho Shin, 2009 .

Cortical Reorganization of Peripheral Vision Induced by Simulated Central Vision Loss

B. Tjan, Kilho Shin, Nihong Chen, 2019, The Journal of Neuroscience.

Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data

Adrian Pino Angulo, Kilho Shin, 2019, Applied Intelligence.

A theory of subtree matching and tree kernels based on the edit distance concept

Kilho Shin, 2015, Annals of Mathematics and Artificial Intelligence.

Improving the genetic bee colony optimization algorithm for efficient gene selection in microarray data

Adrian Pino Angulo, Kilho Shin, Camilo Velázquez-Rodríguez, 2018, Progress in Artificial Intelligence.

Analyzing temporal patterns of topic diversity using graph clustering

Takako Hashimoto, David Lawrence Shepard, Takeaki Uno, 2020, The Journal of Supercomputing.

Analysing PC Operation Logs by Functionality Clustering of Networks

Hiroshi Yasuda, Takako Hashimoto, Kilho Shin, 2012 .

Consistency Measures for Feature Selection: A Formal Definition, Relative Sensitivity Comparison, and a Fast Algorithm

Seiya Miyazaki, Kilho Shin, Danny Fernandes, 2011, IJCAI.

A Fast and Accurate Feature Selection Algorithm Based on Binary Consistency Measure

Seiya Miyazaki, Kilho Shin, S. Miyazaki, 2016, Comput. Intell..

On the nature of the stimulus information necessary for estimating mean size of visual arrays.

Randolph Blake, Kilho Shin, Sung Jun Joo, 2009, Journal of vision.

A new combination of Hankel and sparsity-promoting dynamic mode decompositions and its application to the prediction of plasma turbulence

T. Kuboyama, Kilho Shin, S. Inagaki, 2021, Japanese Journal of Applied Physics.

Twitter Topic Progress Visualization using Micro-clustering

Takeaki Uno, Tetsuji Kuboyama, Takako Hashimoto, 2020, ICPRAM.

Random Number Generators in Training of Contextual Neural Networks

Tetsuji Kuboyama, Takako Hashimoto, Kilho Shin, 2021, ACIIDS.

Predictive Nonlinear Modeling by Koopman Mode Decomposition

T. Kuboyama, Kilho Shin, D. Shepard, 2020, 2020 International Conference on Data Mining Workshops (ICDMW).

Improving Classification Accuracy by Means of the Sliding Window Method in Consistency-Based Feature Selection

Kilho Shin, Adrian Pino Angulo, Kilho Shin, 2017, DS.

Detecting Fake Sites based on HTML Structure Analysis

Jia-Chang Xu, Kilho Shin, Yu-Lu Liu, 2016 .

Time Series Topic Transition Based on Micro-Clustering

Takeaki Uno, Tetsuji Kuboyama, Takako Hashimoto, 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp).

Bayesian-Optimization-Based Peak Searching Algorithm for Clustering in Wireless Sensor Networks

Kilho Shin, Yukikazu Nakamoto, Qian Zhao, 2018, J. Sens. Actuator Networks.

Machine learning for tree structures in fake site detection

David Lawrence Shepard, Kilho Shin, Taichi Ishikawa, 2020, ARES.

A Generalization of Haussler's Convolution Kernel — Mapping Kernel and Its Application to Tree Kernels

Tetsuji Kuboyama, Kilho Shin, T. Kuboyama, 2008, ICML '08.

Polynomial summaries of positive semidefinite kernels

Tetsuji Kuboyama, Kilho Shin, T. Kuboyama, 2007, Theor. Comput. Sci..

Mapping kernels for trees

Tetsuji Kuboyama, Kilho Shin, Marco Cuturi, 2011, ICML.

Some remarkable property of the uniformly random distributed archive scheme

Kilho Shin, Hwaseong Lee, A. Tallat, 2012, 2011 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT).

Faster Privacy-Preserving Computation of Edit Distance with Moves pdf

Yoshimasa Takabatake, Kilho Shin, Yohei Yoshimoto, 2019, WALCOM.

2015 Ieee International Conference on Big Data (big Data) Super-cwc and Super-lcc: Super Fast Feature Selection Algorithms

Tetsuji Kuboyama, Takako Hashimoto, Kilho Shin, 2022 .